Taught course

Network Science

Queen Mary, University of London · Mathematical Sciences

Entry requirements

The normal entry requirement for the MSc Network Science is the equivalent of a British first or good upper second class honours degree in a subject with substantial mathematics component (e.g.: Mathematics, Statistics, Physics, Economics, Computer Science, Engineering). In addition, the undergraduate modules you have taken must provide sufficient background to enable you to take an appropriate selection of our MSc modules.

Months of entry


Course content

"Everything is connected, all is network"
From the underlying skeleton of social relations, the interdependent evolution of our financial system, to the emergent collective computation in the brain, most of the complex systems that appear in society, technology, and nature are ultimately characterised by a nontrivial pattern of inter-relations. This underlying architecture is in turn shaping how information diffuses and spreads, how resilient the system is against attacks or perturbations, or how complex patterns emerge at the systemic level from the aggregation of seemingly simple individuals.

Our MSc Network Science will provide a thorough grounding in the core principles of modelling and analysis of complex and networked systems, along with the principal analytical and numerical methodologies. This will open to students a host of career opportunities in systems and networks modelling industries, spanning the IT, financial, and biomedical sectors, that are now requiring such specialist knowledge and skills.

Information for international students

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Fees and funding

UK students
International students

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Qualification and course duration


N/A months
distance learning
N/A months
part time
24 months
full time
12 months

Course contact details

School of Mathematical Sciences
+44 (0)20 7882 5468